Coastal Management: A Review of Key Elements for Vulnerability Assessment

Damaging and accelerated anthropization in coastal areas, as well as the need to adapt to climate change, means we must concentrate on improving management plans based on the diagnoses provided by coastal studies. Among these studies is the vulnerability assessment, obtained from evaluating a set of...

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Main Authors: Cesia J. Cruz-Ramírez, Valeria Chávez, Rodolfo Silva, Juan J. Muñoz-Perez, Evelia Rivera-Arriaga
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/12/3/386
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author Cesia J. Cruz-Ramírez
Valeria Chávez
Rodolfo Silva
Juan J. Muñoz-Perez
Evelia Rivera-Arriaga
author_facet Cesia J. Cruz-Ramírez
Valeria Chávez
Rodolfo Silva
Juan J. Muñoz-Perez
Evelia Rivera-Arriaga
author_sort Cesia J. Cruz-Ramírez
collection DOAJ
description Damaging and accelerated anthropization in coastal areas, as well as the need to adapt to climate change, means we must concentrate on improving management plans based on the diagnoses provided by coastal studies. Among these studies is the vulnerability assessment, obtained from evaluating a set of variables or indicators, which contribute to sustainable development. Since there is no single list of variables to consider in determining coastal vulnerability, 60 vulnerability studies from a period of 29 years (1994–2023), from across the globe, were consulted, and through a statistical mode method, the variables most used by multidisciplinary authors were identified. These studies were organized into groups: ecological, geomorphological, maritime climate, socioeconomic and legislative; creating sets categorized as the minimum indispensable, acceptable, and ideal variables. The results showed that most studies use between six and seven variables from only the maritime climate and geomorphological information groups. The number of variables used by individual studies, on the other hand, was not directly related to the scales (global, national, regional, local), but to the risks, such as flooding and erosion, it resolved. Only two studies included the minimum essential information for the legislative group, which is the presence of protected natural areas. Coastline displacements was the variable most used (43 studies), followed by the geoform type and the rate of sea level change (36), the wave regime (35) and the tidal range (33). The DSSs (Decision Support Systems) for coastal management were also reviewed, showing that these systems focus on a topic with a greater number of variables.
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spelling doaj.art-75e5541c2af84e07a845dfd5f0ef7bb72024-03-27T13:49:07ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-02-0112338610.3390/jmse12030386Coastal Management: A Review of Key Elements for Vulnerability AssessmentCesia J. Cruz-Ramírez0Valeria Chávez1Rodolfo Silva2Juan J. Muñoz-Perez3Evelia Rivera-Arriaga4Instituto de Ingeniería, Universidad Nacional Autónoma de Mexico, Mexico City 04510, MexicoInstituto de Ingeniería, Universidad Nacional Autónoma de Mexico, Mexico City 04510, MexicoInstituto de Ingeniería, Universidad Nacional Autónoma de Mexico, Mexico City 04510, MexicoCentro Andaluz Superior de Estudios Marinos (CASEM), Universidad de Cadiz, Rio San Pedro s/n, 11510 Puerto Real, SpainCentro EPOMEX, Universidad Autónoma de Campeche, Av. Agustin Melgar y Juan de la Barrera, Cd. Universitaria, Apartado Postal 520, Campeche 24020, MexicoDamaging and accelerated anthropization in coastal areas, as well as the need to adapt to climate change, means we must concentrate on improving management plans based on the diagnoses provided by coastal studies. Among these studies is the vulnerability assessment, obtained from evaluating a set of variables or indicators, which contribute to sustainable development. Since there is no single list of variables to consider in determining coastal vulnerability, 60 vulnerability studies from a period of 29 years (1994–2023), from across the globe, were consulted, and through a statistical mode method, the variables most used by multidisciplinary authors were identified. These studies were organized into groups: ecological, geomorphological, maritime climate, socioeconomic and legislative; creating sets categorized as the minimum indispensable, acceptable, and ideal variables. The results showed that most studies use between six and seven variables from only the maritime climate and geomorphological information groups. The number of variables used by individual studies, on the other hand, was not directly related to the scales (global, national, regional, local), but to the risks, such as flooding and erosion, it resolved. Only two studies included the minimum essential information for the legislative group, which is the presence of protected natural areas. Coastline displacements was the variable most used (43 studies), followed by the geoform type and the rate of sea level change (36), the wave regime (35) and the tidal range (33). The DSSs (Decision Support Systems) for coastal management were also reviewed, showing that these systems focus on a topic with a greater number of variables.https://www.mdpi.com/2077-1312/12/3/386coastal vulnerabilityvulnerability indexdecision support system
spellingShingle Cesia J. Cruz-Ramírez
Valeria Chávez
Rodolfo Silva
Juan J. Muñoz-Perez
Evelia Rivera-Arriaga
Coastal Management: A Review of Key Elements for Vulnerability Assessment
Journal of Marine Science and Engineering
coastal vulnerability
vulnerability index
decision support system
title Coastal Management: A Review of Key Elements for Vulnerability Assessment
title_full Coastal Management: A Review of Key Elements for Vulnerability Assessment
title_fullStr Coastal Management: A Review of Key Elements for Vulnerability Assessment
title_full_unstemmed Coastal Management: A Review of Key Elements for Vulnerability Assessment
title_short Coastal Management: A Review of Key Elements for Vulnerability Assessment
title_sort coastal management a review of key elements for vulnerability assessment
topic coastal vulnerability
vulnerability index
decision support system
url https://www.mdpi.com/2077-1312/12/3/386
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AT rodolfosilva coastalmanagementareviewofkeyelementsforvulnerabilityassessment
AT juanjmunozperez coastalmanagementareviewofkeyelementsforvulnerabilityassessment
AT eveliariveraarriaga coastalmanagementareviewofkeyelementsforvulnerabilityassessment